This notebook is focused on data analysis investigation for the Spread of COVID for a chosen country. This is an online and interactive overview of the Spread of COVID-19 and the vaccination progress.

MER-CountriesCOVID Dataset

We extract from the MER-CountriesCOVID Dataset all the information related to the chosen country and generate some statistics to get to know better the situation for COVID-19 for the country mentionned on this notebook.

Loading BokehJS ...

Data analysis of the Spread of Covid over the chosen country

The chosen country

Give the country : Lebanon

We group by Date for the chosen country and sum up the number of total_cases and total_deaths. This plot below is given a statistical visualisation for the Spread of COVID-19 for the country, you can notice the gap from each first day of a month, it is given an approximation for the velocity of the Spread of COVID-19 over the mentionned country.

This is an Estimation for the number of total_cases and total_deaths for the chosen country, we can establish for each date the exact number of total_cases and total_deaths in real-time! we do the same for new_cases and new_deaths.

Figure(

id = '1002', …)

above = [],

align = 'start',

aspect_ratio = None,

aspect_scale = 1,

background = None,

background_fill_alpha = 1.0,

background_fill_color = '#ffffff',

below = [DatetimeAxis(id='1013', ...)],

border_fill_alpha = 1.0,

border_fill_color = '#ffffff',

center = [Grid(id='1016', ...), Grid(id='1020', ...), Legend(id='1061', ...)],

css_classes = [],

disabled = False,

extra_x_ranges = {},

extra_y_ranges = {},

frame_height = None,

frame_width = None,

height = None,

height_policy = 'auto',

hidpi = True,

js_event_callbacks = {},

js_property_callbacks = {},

left = [LinearAxis(id='1017', ...)],

lod_factor = 10,

lod_interval = 300,

lod_threshold = 2000,

lod_timeout = 500,

margin = (0, 0, 0, 0),

match_aspect = False,

max_height = None,

max_width = None,

min_border = 5,

min_border_bottom = None,

min_border_left = None,

min_border_right = None,

min_border_top = None,

min_height = None,

min_width = None,

name = None,

outline_line_alpha = 1.0,

outline_line_cap = 'butt',

outline_line_color = '#e5e5e5',

outline_line_dash = [],

outline_line_dash_offset = 0,

outline_line_join = 'bevel',

outline_line_width = 1,

output_backend = 'webgl',

plot_height = 800,

plot_width = 1000,

renderers = [GlyphRenderer(id='1039', ...), GlyphRenderer(id='1069', ...)],

reset_policy = 'standard',

right = [],

sizing_mode = 'fixed',

subscribed_events = [],

tags = [],

title = Title(id='1003', ...),

title_location = 'above',

toolbar = Toolbar(id='1028', ...),

toolbar_location = 'right',

toolbar_sticky = True,

visible = True,

width = None,

width_policy = 'auto',

x_range = DataRange1d(id='1005', ...),

x_scale = LinearScale(id='1009', ...),

y_range = DataRange1d(id='1007', ...),

y_scale = LinearScale(id='1011', ...))

Figure(

id = '1393', …)

above = [],

align = 'start',

aspect_ratio = None,

aspect_scale = 1,

background = None,

background_fill_alpha = 1.0,

background_fill_color = '#ffffff',

below = [DatetimeAxis(id='1404', ...)],

border_fill_alpha = 1.0,

border_fill_color = '#ffffff',

center = [Grid(id='1407', ...), Grid(id='1411', ...), Legend(id='1452', ...)],

css_classes = [],

disabled = False,

extra_x_ranges = {},

extra_y_ranges = {},

frame_height = None,

frame_width = None,

height = None,

height_policy = 'auto',

hidpi = True,

js_event_callbacks = {},

js_property_callbacks = {},

left = [LinearAxis(id='1408', ...)],

lod_factor = 10,

lod_interval = 300,

lod_threshold = 2000,

lod_timeout = 500,

margin = (0, 0, 0, 0),

match_aspect = False,

max_height = None,

max_width = None,

min_border = 5,

min_border_bottom = None,

min_border_left = None,

min_border_right = None,

min_border_top = None,

min_height = None,

min_width = None,

name = None,

outline_line_alpha = 1.0,

outline_line_cap = 'butt',

outline_line_color = '#e5e5e5',

outline_line_dash = [],

outline_line_dash_offset = 0,

outline_line_join = 'bevel',

outline_line_width = 1,

output_backend = 'webgl',

plot_height = 800,

plot_width = 1000,

renderers = [GlyphRenderer(id='1430', ...), GlyphRenderer(id='1460', ...)],

reset_policy = 'standard',

right = [],

sizing_mode = 'fixed',

subscribed_events = [],

tags = [],

title = Title(id='1394', ...),

title_location = 'above',

toolbar = Toolbar(id='1419', ...),

toolbar_location = 'right',

toolbar_sticky = True,

visible = True,

width = None,

width_policy = 'auto',

x_range = DataRange1d(id='1396', ...),

x_scale = LinearScale(id='1400', ...),

y_range = DataRange1d(id='1398', ...),

y_scale = LinearScale(id='1402', ...))

OWID_Dataset

Our World In Data (OWID) is an online publication that presents empirical research and data that shows how living conditions around the world change over time.Online publications on global development use interactive data visualizations (tables and maps) to present the results of development research and explain the causes and consequences of observed changes. OWID dataset is used to evaluate the impact of Vaccination for the chosen country. We can go deeply into the details about the Total_Fully_Vaccinated ( People who received two doses of the Vaccine ) and the Number of Total_Vaccinations (vaccines) that represents the Total Number of Vaccines delivered!

Figure(

id = '1838', …)

above = [],

align = 'start',

aspect_ratio = None,

aspect_scale = 1,

background = None,

background_fill_alpha = 1.0,

background_fill_color = '#ffffff',

below = [DatetimeAxis(id='1849', ...)],

border_fill_alpha = 1.0,

border_fill_color = '#ffffff',

center = [Grid(id='1852', ...), Grid(id='1856', ...), Legend(id='1897', ...)],

css_classes = [],

disabled = False,

extra_x_ranges = {},

extra_y_ranges = {},

frame_height = None,

frame_width = None,

height = None,

height_policy = 'auto',

hidpi = True,

js_event_callbacks = {},

js_property_callbacks = {},

left = [LinearAxis(id='1853', ...)],

lod_factor = 10,

lod_interval = 300,

lod_threshold = 2000,

lod_timeout = 500,

margin = (0, 0, 0, 0),

match_aspect = False,

max_height = None,

max_width = None,

min_border = 5,

min_border_bottom = None,

min_border_left = None,

min_border_right = None,

min_border_top = None,

min_height = None,

min_width = None,

name = None,

outline_line_alpha = 1.0,

outline_line_cap = 'butt',

outline_line_color = '#e5e5e5',

outline_line_dash = [],

outline_line_dash_offset = 0,

outline_line_join = 'bevel',

outline_line_width = 1,

output_backend = 'webgl',

plot_height = 800,

plot_width = 1000,

renderers = [GlyphRenderer(id='1875', ...), GlyphRenderer(id='1905', ...), GlyphRenderer(id='1936', ...)],

reset_policy = 'standard',

right = [],

sizing_mode = 'fixed',

subscribed_events = [],

tags = [],

title = Title(id='1839', ...),

title_location = 'above',

toolbar = Toolbar(id='1864', ...),

toolbar_location = 'right',

toolbar_sticky = True,

visible = True,

width = None,

width_policy = 'auto',

x_range = DataRange1d(id='1841', ...),

x_scale = LinearScale(id='1845', ...),

y_range = DataRange1d(id='1843', ...),

y_scale = LinearScale(id='1847', ...))

This histogram is a representation of the three variables that we play around within the OWID_dataset, this is an amazing visualisation tool to estimate the distribution for the Total_Fully_Vaccinated progress in real-time for the chosen country.

Figure(

id = '2198', …)

above = [],

align = 'start',

aspect_ratio = None,

aspect_scale = 1,

background = None,

background_fill_alpha = 1.0,

background_fill_color = '#ffffff',

below = [LinearAxis(id='2209', ...)],

border_fill_alpha = 1.0,

border_fill_color = '#ffffff',

center = [Grid(id='2212', ...), Grid(id='2216', ...), Legend(id='2246', ...)],

css_classes = [],

disabled = False,

extra_x_ranges = {},

extra_y_ranges = {},

frame_height = None,

frame_width = None,

height = None,

height_policy = 'auto',

hidpi = True,

js_event_callbacks = {},

js_property_callbacks = {},

left = [LinearAxis(id='2213', ...)],

lod_factor = 10,

lod_interval = 300,

lod_threshold = 2000,

lod_timeout = 500,

margin = (0, 0, 0, 0),

match_aspect = False,

max_height = None,

max_width = None,

min_border = 5,

min_border_bottom = None,

min_border_left = None,

min_border_right = None,

min_border_top = None,

min_height = None,

min_width = None,

name = None,

outline_line_alpha = 1.0,

outline_line_cap = 'butt',

outline_line_color = '#e5e5e5',

outline_line_dash = [],

outline_line_dash_offset = 0,

outline_line_join = 'bevel',

outline_line_width = 1,

output_backend = 'webgl',

plot_height = 800,

plot_width = 1000,

renderers = [GlyphRenderer(id='2237', ...), GlyphRenderer(id='2254', ...), GlyphRenderer(id='2270', ...)],

reset_policy = 'standard',

right = [],

sizing_mode = 'fixed',

subscribed_events = [],

tags = [],

title = Title(id='2199', ...),

title_location = 'above',

toolbar = Toolbar(id='2224', ...),

toolbar_location = 'right',

toolbar_sticky = True,

visible = True,

width = None,

width_policy = 'auto',

x_range = DataRange1d(id='2201', ...),

x_scale = LinearScale(id='2205', ...),

y_range = DataRange1d(id='2203', ...),

y_scale = LinearScale(id='2207', ...))